Combining Learned Representations for Combinatorial Optimization

ICLR 2019 Saavan PatelSayeef Salahuddin

We propose a new approach to combine Restricted Boltzmann Machines (RBMs) that can be used to solve combinatorial optimization problems. This allows synthesis of larger models from smaller RBMs that have been pretrained, thus effectively bypassing the problem of learning in large RBMs, and creating a system able to model a large, complex multi-modal space... (read more)

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